Networks play an increasingly dominant role in many social, business, and economic environments. Moreover, network data becomes increasingly important and available due to the rise of online social media and digitization.
The online course will combine online lectures with hands-on empirical and programming exercises.
Course Format
- Dates: 12-14 January 2026
- Attendance: Online only
- Form of tuition: Online lectures and tutorials
- Form of assessment: Exercises and assignments
- Language of instruction: English
- See the course curriculum
Course Level
- Level: Master's students and PhD candidates from all disciplines
- English language requirement: B2 level or higher (equivalent to IELTS 6.5)
- See the entry requirements
Workload
- Credits: Equivalent to 2 ECTS
- Contact hours: 20 (3 days)
- Self-study hours: 36
Lecturers
- Coordinating lecturer: Michael D. König